Comprehensive Hazard Identification

2021 ◽  
pp. 153-178
Author(s):  
Franco Oboni ◽  
Cesar H. Oboni
Keyword(s):  
Hazard Identification

Measuring hazard identification

2006 ◽  
Author(s):  
P.R. Caseley ◽  
S. Guerra ◽  
P. Froome
Keyword(s):  
Hazard Identification

scholarly journals Algorithmic prediction of failure modes in healthcare

2020 ◽  
Author(s):  
Ayala Kobo-Greenhut ◽  
Ortal Sharlin ◽  
Yael Adler ◽  
Nitza Peer ◽  
Vered H Eisenberg ◽  
...  
Keyword(s):  
Adverse Events ◽  
Failure Modes ◽  
Medical Center ◽  
Hazard Analysis ◽  
Working Hours ◽  
Hazard Identification ◽  
Patient Identification ◽  
Complete Identification ◽  
Before And After ◽  
Fmea Method

Abstract Background Preventing medical errors is crucial, especially during crises like the COVID-19 pandemic. Failure Modes and Effects Analysis (FMEA) is the most widely used prospective hazard analysis in healthcare. FMEA relies on brainstorming by multi-disciplinary teams to identify hazards. This approach has two major weaknesses: significant time and human resource investments, and lack of complete and error-free results. Objectives To introduce the algorithmic prediction of failure modes in healthcare (APFMH) and to examine whether APFMH is leaner in resource allocation in comparison to the traditional FMEA and whether it ensures the complete identification of hazards. Methods The patient identification during imaging process at the emergency department of Sheba Medical Center was analyzed by FMEA and APFMH, independently and separately. We compared between the hazards predicted by APFMH method and the hazards predicted by FMEA method; the total participants’ working hours invested in each process and the adverse events, categorized as ‘patient identification’, before and after the recommendations resulted from the above processes were implemented. Results APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA: the former used 21 h whereas the latter required 63 h. Following the implementation of the recommendations, the adverse events decreased by 44% annually (P = 0.0026). Most adverse events were preventable, had all recommendations been fully implemented. Conclusion In light of our initial and limited-size study, APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA. APFMH is suggested as an alternative to FMEA since it is leaner in time and human resources, ensures more complete hazard identification and is especially valuable during crisis time, when new protocols are often adopted, such as in the current days of the COVID-19 pandemic.

A case study on hazard identification and risk assessment in sewage treatment plant

2021 ◽  
Author(s):  
M. Ramaganesh ◽  
T. Raj Pradeesh ◽  
S. Naresh ◽  
P. Venkumar ◽  
R. Manikandan
Keyword(s):  
Risk Assessment ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Hazard Identification

scholarly journals Catalogue of hazards: a fundamental part for the safe design of surgical robots

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Lukas Theisgen ◽  
Florian Strauch ◽  
Matías de la Fuente ◽  
Klaus Radermacher
Keyword(s):  
Development Process ◽  
New Technologies ◽  
State Of The Art ◽  
Hazard Identification ◽  
Surgical Robots ◽  
Safety Measures ◽  
Fundamental Part ◽  
Phases Of Development ◽  
Early Phases ◽  
Intended Use

AbstractRisk classes defined by MDR and FDA for state-of-the-art surgical robots based on their intended use are not suitable as indicators for their hazard potential. While there is a lack of safety regulation for an increasing degree of automation as well as the degree of invasiveness into the patient’s body, adverse events have increased in the last decade. Thus, an outright identification of hazards as part of the risk analysis over the complete development process and life cycle of a surgical robot is crucial, especially when introducing new technologies. For this reason, we present a comprehensive approach for hazard identification in early phases of development. With this multi-perspective approach, the number of hazards identified can be increased. Furthermore, a generic catalogue of hazards for surgical robots has been established by categorising the results. The catalogue serves as a data pool for risk analyses and holds the potential to reduce hazards through safety measures already in the design process before becoming risks for the patient.

scholarly journals Hazard Identification of Portal Crane In-use & Research on Its Application In a Shipbuilding Company

2021 ◽  
Vol 657 (1) ◽  
pp. 012111
Author(s):  
Zheng-qiu Huang ◽  
Yao-ting Tong ◽  
Li-xin Ren ◽  
Wei-ping Ouyang
Keyword(s):  
Hazard Identification ◽  
Portal Crane
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